Exploration of Research Trends in The Journal of Distribution Science Using Keyword Analysis
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Purpose – The purpose of this study is to find out research directions for distribution and fusion and complex field to many domestic and foreign researchers carrying out related academic research by confirming research trends in the Journal of Distribution Science (JDS). Research Design, Data, and Methodology – To do this, I used keywords from a total of 904 papers published in the JDS excluding 19 papers that were not presented with keywords among 923. The analysis utilized word clouding, topic modeling, and weighted frequency analysis using the R program. Results – As a result of word clouding analysis, customer satisfaction was the most utilized keyword. Topic modeling results were divided into ten topics such as distribution channels, communication, supply chain, brand, business, customer, comparative study, performance, KODISA journal, and trade. It is confirmed that only the service quality part is increased in the weighted frequency analysis result of applying to the year group. Conclusion – The results of this study confirm that the JDS has developed into various convergence and integration researches from the past studies limited to the field of distribution. However, JDS's identity is based on distribution. Therefore, it is also necessary to establish identity continuously through special editions of fields related to distribution.
Abstract
Purpose – The purpose of this study is to find out research directions for distribution and fusion and complex field to many domestic and foreign researchers carrying out related academic research by confirming research trends in the Journal of Distribution Science (JDS). Research Design, Data, and Methodology – To do this, I used keywords from a total of 904 papers published in the JDS excluding 19 papers that were not presented with keywords among 923. The analysis utilized word clouding, topic modeling, and weighted frequency analysis using the R program. Results – As a result of word clouding analysis, customer satisfaction was the most utilized keyword. Topic modeling results were divided into ten topics such as distribution channels, communication, supply chain, brand, business, customer, comparative study, performance, KODISA journal, and trade. It is confirmed that only the service quality part is increased in the weighted frequency analysis result of applying to the year group. Conclusion – The results of this study confirm that the JDS has developed into various convergence and integration researches from the past studies limited to the field of distribution. However, JDS's identity is based on distribution. Therefore, it is also necessary to establish identity continuously through special editions of fields related to distribution.
참고문헌 (23)
- Blei, D. M., "Latent dirichlet allocation", The Journal of Machine Learning Research, 3, pp.993~1022 (2003)
- Blei, D., "A correlated topic model of science", Annals of Applied Statistics, 1(1), pp.17~35 (2007)
- Yong-Jun Choi, "B2B 소프트웨어 유통 중소기업을 위한 고객과의 지속거래 유지 전략: 사례 연구", 유통과학연구, 16(12), pp.81~93 (2018), 한국유통과학회[DOI]
- Griffiths, T. L., "Finding scientific topics", Proceedings of the national academy of sciences of the United States of America, 101, pp.5228~5235 (2004)
- Grun, B., "Topic models : An R package for fitting topic models", Journal of Statistical Software, 40(13), pp.1~30 (2011)
- Yoo-Nah Hahn, "A Brief Analysis of Amazon and Distribution Strategy", 유통과학연구, 16(4), pp.17~20 (2018), 한국유통과학회[DOI]
- 황희중, "Strengthening Publication Ethics for KODISA Journals: Learning from the Cases of Plagiarism", 유통과학연구, 13(4), pp.5~8 (2015), 한국유통과학회[DOI]
- 황희중, "KODISA 학술지 성장전략: 2016 개관 및 미래 성장개요", 유통과학연구, 15(5), pp.75~83 (2017), 한국유통과학회[DOI]
- Hee-Joong Hwang, "KODISA 학술지 성장전략: 2017 개관 및 미래 성장개요", 유통과학연구, 16(5), pp.83~90 (2018), 한국유통과학회[DOI]
- 황서이, "토픽모델링과 의미연결망 분석을 통한 예술경영 연구동향 분석", 예술경영연구, (47), pp.5~29 (2018), 한국예술경영학회[DOI]
- Kang, A. T., "A study on regional characteristics on the stress sentiment and topics extracted from tweet data", Doctorial, pp.2016
- 강창완, "한국자료분석학회지에 대한 토픽분석", Journal of The Korean Data Analysis Society, 20(6), pp.2907~2915 (2018), 한국자료분석학회[DOI]
- 김계원, "상담심리학의 최근 연구동향: 상담 및 심리치료학회지 게재논문 분석(2000~2009)", 한국심리학회지: 상담 및 심리치료, 23(3), pp.521~542 (2011), 한국상담심리학회
- Soon-Hong Kim, "The effect of brand equity of CVS PB Products on Repurchase Intention", 유통과학연구, 16(12), pp.23~31 (2018), 한국유통과학회[DOI]
- 김용한, "할인점 서비스 회복과정의 공정성 지각이 고객만족과 재구매 의도에 미치는 영향", 유통과학연구, 3(1), pp.23~42 (2005), 한국유통과학회
- 김용환, "토픽모델링을 이용한 국내 헬스케어 학술연구 트렌드 분석", 한국웰니스학회지, 14(1), pp.253~262 (2019), 한국웰니스학회[DOI]
- 김영민, "유통과학연구의 연구 동향 분석 : 창간호부터 제8권 3호까지를 중심으로", 유통과학연구, 8(4), pp.5~15 (2010), 한국유통과학회[DOI]
- "Statistics of Journals and institutions. (Korea Citation Index)" (2019)[URL]
- 구영덕, "대형할인점의 물리적 환경에 대한 지각이 고객만족과 의도에 미치는 영향", 유통과학연구, 3(2), pp.29~56 (2005), 한국유통과학회
- 박영근, "점포가치와 점포애고의도에 영향을 미치는 점포선택기준에 관한 연구", 유통과학연구, 4(1), pp.79~102 (2006), 한국유통과학회
- Ryu, J. H., "Analysis of research trends in Korean academic journals on health sciences using topic modeling", Doctorial, pp.2018
- 원진영, "텍스트마이닝을 활용한 사회위험 이슈 도출", Crisisonomy, 10(7), pp.33~52 (2014), (사)위기관리이론과실천
- 윤명길, "KODISA Journals and Strategies", 유통과학연구, 13(3), pp.5~9 (2015), 한국유통과학회[DOI]
